Multi-Objective Self-Organizing Migrating Algorithm: Sensitivity on Controlling Parameters
dc.contributor.author | Kadlec, Petr | |
dc.contributor.author | Raida, Zbynek | |
dc.contributor.author | Drinovsky, Jiri | |
dc.coverage.issue | 1 | cs |
dc.coverage.volume | 22 | cs |
dc.date.accessioned | 2015-01-20T14:14:19Z | |
dc.date.available | 2015-01-20T14:14:19Z | |
dc.date.issued | 2013-04 | cs |
dc.description.abstract | In this paper, we investigate the sensitivity of a novel Multi-Objective Self-Organizing Migrating Algorithm (MOSOMA) on setting its control parameters. Usually, efficiency and accuracy of searching for a solution depends on the settings of a used stochastic algorithm, because multi-objective optimization problems are highly non-linear. In the paper, the sensitivity analysis is performed exploiting a large number of benchmark problems having different properties (the number of optimized parameters, the shape of a Pareto front, etc.). The quality of solutions revealed by MOSOMA is evaluated in terms of a generational distance, a spread and a hyper-volume error. Recommendations for proper settings of the algorithm are derived: These recommendations should help a user to set the algorithm for any multi-objective task without prior knowledge about the solved problem. | en |
dc.format | text | cs |
dc.format.extent | 296-308 | cs |
dc.format.mimetype | application/pdf | en |
dc.identifier.citation | Radioengineering. 2013, vol. 22, č. 1, s. 296-308. ISSN 1210-2512 | cs |
dc.identifier.issn | 1210-2512 | |
dc.identifier.uri | http://hdl.handle.net/11012/36851 | |
dc.language.iso | en | cs |
dc.publisher | Společnost pro radioelektronické inženýrství | cs |
dc.relation.ispartof | Radioengineering | cs |
dc.relation.uri | http://www.radioeng.cz/fulltexts/2013/13_01_0296_0308.pdf | cs |
dc.rights | Creative Commons Attribution 3.0 Unported License | en |
dc.rights.access | openAccess | en |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/ | en |
dc.subject | MOSOMA | en |
dc.subject | sensitivity | en |
dc.subject | control parameters | en |
dc.subject | multi-objective optimization. | en |
dc.title | Multi-Objective Self-Organizing Migrating Algorithm: Sensitivity on Controlling Parameters | en |
dc.type.driver | article | en |
dc.type.status | Peer-reviewed | en |
dc.type.version | publishedVersion | en |
eprints.affiliatedInstitution.faculty | Fakulta eletrotechniky a komunikačních technologií | cs |